The purpose of this paper is to introduce interaction partitioned Bonferroni mean operators under dual hesitant q-rung orthopair fuzzy environment. Motivated by the idea of q-rung orthopair fuzzy interaction operational laws, partitioned Bonferroni mean, and dual hesitant q-rung orthopair fuzzy sets, for dual hesitant q-rung orthopair fuzzy numbers, we present dual hesitant q-rung orthopair fuzzy interaction operational rules and propose several dual hesitant q-rung orthopair fuzzy interaction partitioned Bonferroni mean aggregation operators, including the interaction partitioned Bonferroni mean operator for dual hesitant q-rung orthopair fuzzy numbers, the weighted interaction partitioned Bonferroni mean operator for dual hesitant q-rung ...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion values ...
Hesitant fuzzy evaluation strategy related to the interval-valued membership and nonmembership degre...
This paper investigates multiple criteria decision making (MCDM) with q-rung orthopair fuzzy informa...
The q-rung orthopair fuzzy sets (q-ROFSs), originated by Yager, are good tools to describe fuzziness...
Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in the proc...
Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in the proc...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Dual hesitant fuzzy geometric Bonferroni mean is defined for dual hesitant fuzzy sets. Different pro...
© 2020, Springer-Verlag London Ltd., part of Springer Nature. Q-rung orthopair fuzzy (q-ROF) set is ...
The theory investigated in this analysis is substantially more suitable for evaluating the dilemmas ...
The aim of this paper is to develop partitioned Pythagorean fuzzy interaction Bonferroni mean operat...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion values ...
Hesitant fuzzy evaluation strategy related to the interval-valued membership and nonmembership degre...
This paper investigates multiple criteria decision making (MCDM) with q-rung orthopair fuzzy informa...
The q-rung orthopair fuzzy sets (q-ROFSs), originated by Yager, are good tools to describe fuzziness...
Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in the proc...
Q-rung orthopair fuzzy set (q-ROFS) is a powerful tool to describe uncertain information in the proc...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Q-rung orthopair fuzzy (q-ROF) set is one of the powerful tools for handling the uncertain multi-cri...
Dual hesitant fuzzy geometric Bonferroni mean is defined for dual hesitant fuzzy sets. Different pro...
© 2020, Springer-Verlag London Ltd., part of Springer Nature. Q-rung orthopair fuzzy (q-ROF) set is ...
The theory investigated in this analysis is substantially more suitable for evaluating the dilemmas ...
The aim of this paper is to develop partitioned Pythagorean fuzzy interaction Bonferroni mean operat...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
In this paper, we investigate the multiple attribute decision making problems based on the Bonferron...
Two critical tasks in multi-criteria group decision making (MCGDM) are to describe criterion values ...